Conservation land DSS

A Decision Support System (DSS) has been developed to guide funding allocation for rabbit management on public lands in the Australian Capital Territory (ACT). Although designed specifically for use by ACT Parks and Conservation Service (ACTPCS), this DSS can be downloaded and adapted by other agencies that need to make decisions on where to allocate limited funding to achieve the best rabbit management outcomes. The DSS prioritises areas for rabbit management based on relative conservation, economic and social assets, current levels of rabbit abundance, and prior investment on rabbit management.

The DSS is available for download as an Excel spreadsheet so that it is easily accessible, easy to use and adaptable beyond the life of the project. Values relating to the rabbit problem at specific sites, site attributes, previous control activities and resources available are entered into an input form. Output tables are then automatically generated that rank the sites for priority future management.

Every year, ACT Parks and Conservation Service decides which areas of public land receive funding allocation for rabbit management. Decisions to allocate funding are based on prior government commitments for rabbit management that year, prior investments in rabbit management, current rabbit numbers and the relative importance of available conservation, economic and social assets for each area of public land. The decision tree below, developed collectively with ACTPCS staff, details the steps in the decision-making process:

As shown in the decision tree, if an area has received funding for rabbit management in the last two years it automatically gets assigned to receive funding for follow-up control. The remaining areas are assessed for their levels of rabbit infestation (using the modified McLean scale, spotlight or warren counts) and those with levels above a given threshold (provided by ACTPCS) are then ranked based on their conservation, economic and social assets.

As part of the DSS development process, we (with ACTPCS staff) identified that the decision-making process had the following limitations:

no knowledge of current rabbit numbers in areas that had not been managed for rabbits previously,

no process to rank areas based on conservation, economic and social assets.

The DSS development process addressed each limitation as follows:

Assessing rabbit numbers in areas not previously managed

Spotlight counts are carried out by ACTPCS in some public lands but several areas remain unmonitored due to funding and time constraints. Knowledge of rabbit numbers is a crucial step in the decision-making process so implementing the DSS required the additional development of a rapid and cost-effective method for estimating relative rabbit abundance, which could easily be used by ACTPCS rangers monitoring public lands. We (in agreement with ACTPCS staff) opted for the modified McLean scale as a cost-effective and rapid method for estimating the relative levels of rabbit infestation in a particular area. The modified McLean scale is currently part of the good practice guidelines for national pest rabbit monitoring and control in New Zealand [1]. This scale has been tested and widely used by management agencies in New Zealand for decades [2,3], and was recently modified (in 2012) to clarify some terminology. The scale provides a relative index of rabbit abundance in a defined area by gauging the average distance between ‘buck heaps’ or ‘rabbit dung latrines’ that contain fresh or recent dung deposits (

This scale was tested for use by ACTPCS staff in collaboration with Landcare Research and Environment Canterbury, New Zealand, who provided training to ACTPCS rangers on using the scale in the field under a wide range of scenarios. ACT Parks and Conservation Service plan to train additional staff and have added the scale as part of their preferred toolkit of monitoring techniques for assessing rabbit numbers. They are in the process of validating the scale against spotlight counts.

Ranking areas based on their assets

To rank areas based on their conservation, economic and social assets, we use the Analytical Hierarchy Process , a type of multi-criteria analysis [4]. Multi-criteria analysis is an explicit approach for decision making that allows transparency and is based on clear objectives and criteria provided by the decision-making team. The DSS uses three criteria for ranking an area: conservation, economic and social values. The criteria are firstly weighted against each other by the user based on their relative importance. Then, each site is scored by the user under each criterion, using the scoring tables provided in the DSS. The DSS uses the weighted criteria scores to rank areas in decreasing order of priority.